Cudatashader Example

from cuXfilter import charts
import cuXfilter
from bokeh import palettes
from cuXfilter.layouts import layout_1, layout_2

Load cuXfilter dataframe

cux_df1 = cuXfilter.DataFrame.from_arrow('/home/ajay/data/nyc_taxi_1.arrow')

Define Charts

chart1 = charts.cudatashader.scatter_geo(x='dropoff_x',
                                         y='dropoff_y',
                                         aggregate_fn='count',
                                         x_range=(-8239910.23,-8229529.24),
                                         y_range=(4968481.34,4983152.92))

chart2 = charts.bokeh.bar('passenger_count', data_points=9)

Create dashboard

d1 = cux_df1.dashboard([chart1, chart2], layout_2)

# d1.show('url you want the dashboard to run') remote dashboard:
# d1.app('10.110.47.43:8888') If you are using jupyter remotely, use this line instead of second, and replace url with current notebook url
#d1.app() for local interactive behavior

#d1.view() for just a view of the dashboard, interaciton not available. Recommended way to generate when uploading to git remote site
d1.view()

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-5-25f0b305d4ee> in <module>
      4
      5 #d1.view() for just a view of the dashboard, interaciton not available. Recommended way to generate when uploading to git remote site
----> 6 d1.view()

AttributeError: 'DashBoard' object has no attribute 'view'

Export the queried data into a dataframe

queried_df = d1.export()

no querying done, returning original dataframe